Below are our responses to the comments

We would like to thank all the reviewers for recognizing the contributions of our work and providing valuable feedback. Below are our responses to the comments. ": we follow the kind suggestion from ": we would like to explain We will revise the paper accordingly and add more explanations to enhance the clarity and readability. Specifically, we use reference models trained on 1) ImageNet and 2) noisy CIFAR-10.1 images (with additive ": we explain that our method ": we appreciate the pointer to this contemporaneous work.